AIMC Topic: Physicians

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Clinician and computer: a study on doctors' perceptions of artificial intelligence in skeletal radiography.

BMC medical education Jan 10, 2023
BACKGROUND: Traumatic musculoskeletal injuries are a common presentation to emergency care, the first-line investigation often being plain radiography. The interpretation of this imaging frequently falls to less experienced clinicians despite well-es...
Health Personnel Computers Humans Artificial Intelligence Muscle, Skeletal Radiography Physicians Decision Support Systems, Clinical
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A comparative study of attention mechanism based deep learning methods for bladder tumor segmentation.

International journal of medical informatics Jan 5, 2023
BACKGROUND: Artificial intelligence aided tumor segmentation has been applied in various medical scenarios and showed effectiveness in helping physicians observe the potential malignant tissues. However, little research has been conducted for the cys...
Humans Deep Learning Image Processing, Computer-Assisted Urinary Bladder Neoplasms Hospitals, University Artificial Intelligence Physicians
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Survey of Explainable AI Techniques in Healthcare.

Sensors (Basel, Switzerland) Jan 5, 2023
Artificial intelligence (AI) with deep learning models has been widely applied in numerous domains, including medical imaging and healthcare tasks. In the medical field, any judgment or decision is fraught with risk. A doctor will carefully judge whe...
Humans Physicians Research Personnel Artificial Intelligence Algorithms Judgment
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Recent Advances in Artificial Intelligence and Tactical Autonomy: Current Status, Challenges, and Perspectives.

Sensors (Basel, Switzerland) Dec 16, 2022
This paper presents the findings of detailed and comprehensive technical literature aimed at identifying the current and future research challenges of tactical autonomy. It discusses in great detail the current state-of-the-art powerful artificial in...
Robotics Forecasting Physicians Machine Learning Humans Artificial Intelligence
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Decision Aids, Doorknob Moments, and Physician-Patient Solidarity in EDs.

AMA journal of ethics Dec 1, 2022
Potential benefits of decision aids and technology, such as artificial intelligence, used at the bedside are many and significant. Like any tools, they must be used appropriately for specific tasks, since even validated decision aids have limited uti...
Physician-Patient Relations Physicians Emergency Service, Hospital Humans Artificial Intelligence Decision Support Techniques
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The right to a second opinion on Artificial Intelligence diagnosis-Remedying the inadequacy of a risk-based regulation.

Bioethics Nov 26, 2022
In this paper, we argue that patients who are subjects of Artificial Intelligence (AI)-supported diagnosis and treatment planning should have a right to a second opinion, but also that this right should not necessarily be construed as a right to a ph...
Referral and Consultation Artificial Intelligence Humans Physicians
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Finding patterns in policy questions.

Scientific reports Nov 22, 2022
To help advance exchanges between science and policy, a useful first step is to examine the questions which policymakers pose to scientists. The style of a question indicates what the asker is motivated to know, and how they might use that knowledge....
Policy Knowledge Private Sector Artificial Intelligence Physicians Humans
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Artificial Intelligence in Health: Enhancing a Return to Patient-Centered Communication.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Nov 16, 2022
The medical environment is on the verge of a dramatic transformation as artificial intelligence (AI) evolves. With the inevitable shift toward AI in health care delivery, there are concerns around its implementation, including ethics, privacy, data r...
Humans Physicians Female Artificial Intelligence Delivery of Health Care Communication Patient-Centered Care
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Addressing the Challenges and Barriers to the Integration of Machine Learning into Clinical Practice: An Innovative Method to Hybrid Human-Machine Intelligence.

Sensors (Basel, Switzerland) Oct 29, 2022
Machine learning (ML) models have proven their potential in acquiring and analyzing large amounts of data to help solve real-world, complex problems. Their use in healthcare is expected to help physicians make diagnoses, prognoses, treatment decision...
Algorithms Physicians Humans Artificial Intelligence Delivery of Health Care Machine Learning
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Does AI explainability affect physicians' intention to use AI?

International journal of medical informatics Oct 8, 2022
BACKGROUND: Artificial Intelligence (AI) is increasingly being developed to support clinical decisions for better health service quality, but the adoption of AI in hospitals is not as popular as expected. A possible reason is that the unclear AI expl...
Surveys and Questionnaires Attitude of Health Personnel Artificial Intelligence Humans Physicians Intention
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